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Enhancing crop adaptation to climate change through genomic selection

 

Table Of Contents


<p>1. Introduction<br>&nbsp; 1.1 Background and Rationale<br>&nbsp; 1.2 Objectives of the Study<br>2. Literature Review<br>&nbsp; 2.1 Climate Change and Its Impacts on Crop Production<br>&nbsp; 2.2 Genomic Selection: Principles and Applications<br>&nbsp; 2.3 Genetic Basis of Climate Resilience in Crops<br>3. Methodology<br>&nbsp; 3.1 Genomic Data Collection and Analysis<br>&nbsp; 3.2 Field Trials and Phenotypic Data Collection<br>&nbsp; 3.3 Genomic Prediction Modeling<br>4. Results and Discussion<br>&nbsp; 4.1 Genetic Markers Associated with Climate Resilience Traits<br>&nbsp; 4.2 Performance of Genomic Prediction Models<br>&nbsp; 4.3 Implications for Crop Breeding and Climate Adaptation<br>5. Conclusion and Future Directions<br>&nbsp; 5.1 Summary of Findings<br>&nbsp; 5.2 Recommendations for Future Research<br>&nbsp; 5.3 Implications for Crop Improvement Strategies<br></p>

Project Abstract

Climate change poses significant challenges to global food security, necessitating the development of resilient crop varieties capable of withstanding changing environmental conditions. Genomic selection, a cutting-edge breeding approach, offers the potential to accelerate the development of climate-resilient crops by leveraging genomic information to predict the performance of breeding lines. This project aims to explore the application of genomic selection in enhancing crop adaptation to climate change, with a focus on identifying genetic markers associated with key adaptive traits. Through a combination of genomic analyses, field trials, and computational modeling, this research seeks to elucidate the underlying genetic architecture of climate resilience in crops and develop genomic prediction models for targeted trait improvement. The findings of this study are expected to contribute to the development of climate-resilient crop varieties, thereby bolstering global food security in the face of climate uncertainty.

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